Tag: geometric-deep-learning

11 What is geometric deep learning? 2019-03-12T10:29:49.193

9 What benefits can be got by applying Graph Convolutional Neural Network instead of ordinary CNN? 2018-09-02T08:30:34.710

7 What is the difference between graph convolution in the spatial vs spectral domain? 2019-08-16T08:47:11.267

6 What is non-Euclidean data? 2019-03-14T10:20:51.617

5 Do you know any examples of geometric deep learning used in industry? 2019-05-06T20:48:25.060

4 What is a graph neural network? 2019-03-12T10:46:08.563

4 What is the difference between GAT and GaAN? 2019-06-18T07:35:45.343

4 What are the exact meaning of "lower-order structure" and "higher-order structure" in this paper? 2019-10-02T05:28:45.947

4 Is there an open-source implementation for graph convolution networks for weighted graphs? 2019-11-27T06:44:01.577

3 Are there neural networks that accept graphs or trees as inputs? 2019-06-06T00:13:06.053

3 What is the purpose and benefit of applying CNN to a graph? 2019-06-26T15:41:08.430

3 What are the benefits of using the state information that maintains the graph structure? 2019-06-27T00:04:13.403

3 Examples of time-varying graph-structured data in real world 2019-07-01T14:35:31.483

3 Is there any Python library available for manifold learning using diffusion map? 2019-11-15T17:38:26.477

3 Creating an AI than can learn to give instructions 2020-01-06T19:03:49.300

3 How to represent and work with the feature matrix for graph convolutional network (GCN) if the number of features for each node is different? 2020-02-06T14:33:04.163

3 How can I learn a graph given nodes with features in a supervised fashion? 2020-03-21T14:36:06.900

2 Should I use the hyperbolic distance loss in the case of Poincarè Disk Model? 2019-05-03T14:11:27.203

2 Random graph as input in geometric deep learning on time-varying graph 2019-06-28T08:23:08.617

2 Why is graph convolution network in time-varying graphs useful for anomaly detection? 2019-07-02T03:55:11.850

2 Is there a neural network method for time-varying directed graphs? 2019-07-03T06:05:06.700

2 Does GraphSage use hard attention? 2019-07-18T14:55:58.603

2 How are edge features implemented in Geometric Deep Learning? 2019-08-07T02:43:06.217

2 How should I handle different input sizes in graph convolution networks? 2019-12-04T01:40:37.387

2 What is the difference between graph semi-supervised learning and normal semi-supervised learning? 2020-02-02T02:28:33.913

2 Suitable deep learning algorithms for spatial / geometric data 2020-02-28T05:07:16.153

2 How should I deal with multi-dimensional tensors for nodes in a graph convolution network? 2020-04-07T08:24:26.160

2 Understanding the node information score in the paper "Hierarchical Graph Pooling with Structure Learning" 2020-05-16T09:03:48.750

2 What is the best resources to learn Graph Convolutional Neural Networks? 2020-07-22T20:41:50.807

2 Why can we perform graph convolution using the standard 2d convolution with $1 \times \Gamma$ kernels? 2020-07-24T17:54:52.897

1 What are the differences between network analysis and geometric deep learning on graphs? 2019-06-27T17:03:30.407

1 What are the advantages of time-varying graph CNNs compared to fixed graph? 2019-07-04T07:37:07.710

1 Is there any time-varying directed graph dataset? 2019-10-25T05:46:16.507

1 Can GraphRNN be used with very large graphs? 2020-02-10T17:41:40.633

1 Which generative methods are better for generating graphs, while preserving node and edge labels? 2020-02-20T13:30:39.850

1 How to estimate the convolutional representation of a graph from its similarity to other graph convolutional representation? 2020-04-25T07:22:53.797

1 What are some conferences for publishing papers on graph convolutional networks? 2020-05-11T08:58:13.647

1 How do CNNs or RNNs "stack the feature of nodes by a specific order"? 2020-05-18T20:29:46.563

1 How to design a graph neural network to predict the forces in truss elements of a space frame? 2020-06-25T13:27:52.517

1 How Graph Convolutional Neural Networks forward propagate? 2020-07-23T13:55:08.583

1 Can I think graph convolution as 2D convolution like images? 2020-07-24T08:58:11.450